Can I check my remaining credit balance using the agent?

Yes! Use the `get_profile` tool. Your agent will fetch your account profile, including the current total credit balance available for sending messages.

How do I send an SMS to multiple people at once?

Simply ask the agent to `send_bulk_sms` and provide a JSON array of messages. Each object should include the recipient's phone number and the message body.

Does the integration support checking if a message was delivered?

Yes. Use the `get_message` tool with the Message ID. It will retrieve the current delivery status directly from BulkSMS.com.

BulkSMS MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: BulkSMS
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect BulkSMS through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to BulkSMS "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in BulkSMS?"
    )
    print(result.data)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About BulkSMS MCP Server

Connect your BulkSMS.com account to any AI agent and orchestrate your global SMS communications, contact management, and credit oversight through natural conversation.

Pydantic AI validates every BulkSMS tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

SMS Dispatch — Send single or bulk SMS messages to any international destination using the REST API.
Delivery Tracking — List and retrieve detailed metadata for sent messages and monitor their delivery status.
Contact Organization — Access and list your contact groups and their members directly from your workspace.
Account Oversight — Retrieve your account profile and real-time credit balance to ensure uninterrupted service.
Message Deep Dives — Get detailed data for specific message IDs straight from your workspace.

The BulkSMS MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect BulkSMS to Pydantic AI via MCP

Follow these steps to integrate the BulkSMS MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from BulkSMS with type-safe schemas

Why Use Pydantic AI with the BulkSMS MCP Server

Pydantic AI provides unique advantages when paired with BulkSMS through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your BulkSMS integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your BulkSMS connection logic from agent behavior for testable, maintainable code

BulkSMS + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the BulkSMS MCP Server delivers measurable value.

Type-safe data pipelines: query BulkSMS with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple BulkSMS tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query BulkSMS and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock BulkSMS responses and write comprehensive agent tests

BulkSMS MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect BulkSMS to Pydantic AI via MCP:

get_account_info

Retrieve core account information

get_message

Get details of a specific message

get_profile

Retrieve account profile and credit balance

list_group_members

List members of a specific contact group

list_groups

List contact groups

list_messages

List sent messages

send_bulk_sms

Send multiple SMS messages

send_sms

Send a single SMS message

Example Prompts for BulkSMS in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with BulkSMS immediately.

"Send an SMS to +1234567890 saying 'Your appointment is confirmed'."

"How many credits do I have left in my BulkSMS account?"

"List the members of my 'VIP Customers' group."

Troubleshooting BulkSMS MCP Server with Pydantic AI

Common issues when connecting BulkSMS to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

BulkSMS + Pydantic AI FAQ

Common questions about integrating BulkSMS MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your BulkSMS MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.